Director of AI/ML
Tasks
- Advise executives on AI strategy business value and risks
- Build and scale AI ML delivery organization
- Create reusable accelerators frameworks and delivery models
- Deploy optimize and support production solutions
- Develop LLM and agentic AI platforms
- Drive end-to-end project execution
- Establish SDLC testing observability and governance best practices
- Lead AI ML solution design architecture and delivery
- Lead client workshops thought leadership and partner collaboration
- Resolve complex delivery escalations and coordination issues
- Translate business challenges into scalable solutions
Perks/Benefits
- Broadband reimbursement
- Career growth and leadership development
- Continuous professional development
- Flexible collaboration
- Medical insurance
- Mentorship and learning programs
- Paid certifications
- Personal accident insurance
- Remote-first work environment
- Term life insurance
- Wellness allowance
Skills/Tech-stack
AWS Bedrock | AWS SageMaker | Agentic AI | Artificial Intelligence | Automation | Azure Machine Learning | Cloud Native | Cloud Native Architecture | Databricks | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Governance | LLM orchestration | Langchain | Language Models | Large Language Models | Learning operations | Lifecycle Management | Llamaindex | MLOps | Machine Learning | Machine Learning Operations | Model Lifecycle | Model Lifecycle Management | Monitoring | Observability | Retrieval-Augmented Generation | SDLC | Testing | Vertex AI
Education
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